Optical reflectivity as a simple diagnostic method for testing structural quality of icosahedral quasicrystals

TL;DR

This study demonstrates that optical reflectivity measurements can serve as a sensitive, simple diagnostic tool for assessing the microstructural quality of icosahedral quasicrystals, correlating optical features with structural imperfections.

Contribution

It introduces a method linking optical reflectivity to microstructural quality of quasicrystals, explaining variability in optical properties across different studies.

Findings

Reflectivity is highly sensitive to microstructure details.

Canonical reflectivity behavior shows a decreasing step-like pattern.

Behavior aligns with Janot's cluster hierarchy model.

Abstract

Optical reflectivity as a simple diagnostic method for testing structural quality of icosahedral quasicrystals 2 The optical reflectivity of Al-based and Ti-based quasicrystalline and approximant samples were investigated versus the quality of their structural morphology using optical reflectometry, X-ray diffraction and transmission electron microscopy. The different structural morphologies were obtained using three different preparation processes : sintering, pulsed laser deposition and reactive cathodic magnetron sputtering. The work demonstrates that the canonical behaviour of icosahedral state in specular reflectivity is extremely sensitive to different and very fine aspects of the microstructure : sizes of grains smaller than 50 nm, slight local diffuse disorder and shifts away from the icosahedral crystallographic structure (approximants). The work explains why the optical properties of the same kind of quasicrystals found in literature sometimes reveal a different behaviour from one author to another. The study then confirms the work of some authors and definitely shows that the canonical behaviour of icosahedral state in specular reflectivity over the 30000-50000 cm-1 domain is characterized by a decreasing function made of steps. It also shows that this behaviour can be interpreted thanks to the cluster hierarchy of the model of Janot.